dataset="clothing1m"
seed=2
threshold=0.5
# pl_start_epoch=10
pl_start_epoch=1
pl_end_epoch=150
loss_pl_param=0.4
T=0.6
gpu="2,3"
folder="results_temp_2"
seed_array=(2)
exp_times="0"

mkdir ${folder}/${dataset}

for seed in ${seed_array[@]}
do
    config=config_${dataset}.json
    name=${dataset}_seed_${seed}_exp_${exp_times}
    ASCEND_RT_VISIBLE_DEVICES=${gpu} python train_with_pl_batch_stand.py \
        -c ${config} --seed ${seed} --name ${name} --threshold ${threshold} \
        --pl_start_epoch ${pl_start_epoch} --pl_end_epoch ${pl_end_epoch} --loss_pl_param ${loss_pl_param} --T ${T} \
        > ${folder}/${dataset}/${name}.log
done